Scholar
Vidhisha Balachandran
Google Scholar ID: LgitgaIAAAAJ
Microsoft Research
Citations & Impact
Citations
1,638
H-index
18
i10-index
23
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Publications: FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge (EMNLP 2023); Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models (ICLR 2024); Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey (EACL 2023); Unsupervised Keyphrase Extraction via Interpretable Neural Networks (EACL 2023); Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language M (2022); Awards: EECS Rising Star 2023.
Research Experience
- Current Researcher at Microsoft Research with the AI Frontiers group; Research Intern at AI2 in 2021, Mentors: Dr. Matthew Peters and Dr. Pradeep Dasigi; Research Intern at Google Brain in 2020, Hosted by Niki Parmar and Dr. Ashish Vaswani; Research Intern at Google Language team in 2019, Hosted by Dr. William Cohen and Dr. Michael Collins; Worked at Flipkart, India for 2 years.
Education
- PhD in Language Technologies, 2024, Carnegie Mellon University, Advisor: Prof. Yulia Tsvetkov; MS in Language Technologies, 2019, Carnegie Mellon University, Advisor: Prof. William Cohen; BE in Computer Science and Engineering, 2015, PES Institute of Technology, Bangalore.
Background
- Research Interests: Trustworthy NLP, Text Generation, Natural Language Processing, Machine Learning. Professional Field: Building adaptable, trustworthy, and reliable NLP systems through interpretable and factual model designs.
Miscellany
- Personal Interests: None
